fixes #4 - adds modular analyses system using plugins

app/analysis/plot_line_activity-user.py

@@ -0,0 +1,49 @@
+import pandas as pd
+import matplotlib.pyplot as plt
+import seaborn as sns
+from .basePlotAnalysis import BasePlotAnalysis
+from flask import current_app, url_for
+
+from app.logging_config import get_logger
+
+import matplotlib
+matplotlib.use('Agg')
+
+logger = get_logger()
+
+class PlotLineActivityAllUsers(BasePlotAnalysis):
+    name = "Activity Line Graph (All Users)"
+    description = "This analysis shows the activity line graph for all users. Gneerates a downloadable PNG image."
+    plot_filename = "line_activity-all_users.png"
+    note = ""
+    
+    def transform_data(self, df: pd.DataFrame) -> pd.DataFrame:
+        """Transform data for the bar plot"""
+        df['hour'] = df['timestamp'].dt.hour
+        df = df[df['was_active'] == True].pivot_table(index='name', columns='hour', values='was_active', aggfunc='sum', fill_value=0)
+        df['total_active_minutes'] = df.sum(axis=1)
+        df = df.sort_values(by='total_active_minutes', ascending=False).drop('total_active_minutes', axis=1)
+
+        cumulative_sum_row = df.cumsum().iloc[-1]
+        df.loc['Cumulative Sum'] = cumulative_sum_row
+
+        return df
+
+    def plot_data(self, df: pd.DataFrame):
+        # Plot activity throughout the day for each user with the cumulative sum having a bold line in one plot
+        plt.figure(figsize=(12, 6))
+
+        # Plot each user's activity
+        for index, row in df.iterrows():
+            if index == 'Cumulative Sum':
+                plt.plot(row.index, row.values, label=index, linewidth=3, color='black')  # Bold line for cumulative sum
+            else:
+                plt.plot(row.index, row.values, label=index)
+
+        # Add labels and title
+        plt.xlabel('Hour of Day')
+        plt.ylabel('Activity Count')
+        plt.title('User Activity Throughout the Day')
+        plt.legend(loc='upper left', bbox_to_anchor=(1, 1))
+
+        plt.grid(True)